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08/10/2023
Metacognitive Prompting Improves Understanding in Large Language Models
In Large Language Models (LLMs), there have been consistent advancements...
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05/10/2023
An Empirical Study on the Robustness of the Segment Anything Model (SAM)
The Segment Anything Model (SAM) is a foundation model for general image...
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04/09/2023
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding
Large language models (LLMs) have made significant progress in various d...
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01/20/2023
Brain Model State Space Reconstruction Using an LSTM Neural Network
Objective Kalman filtering has previously been applied to track neural...
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09/28/2022
VREN: Volleyball Rally Dataset with Expression Notation Language
This research is intended to accomplish two goals: The first goal is to ...
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09/26/2022
Optical Neural Ordinary Differential Equations
Increasing the layer number of on-chip photonic neural networks (PNNs) i...
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06/26/2022
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning
As critically ill patients frequently develop anemia or coagulopathy, tr...
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03/28/2022
Enhancing Transformer Efficiency for Multivariate Time Series Classification
Most current multivariate time series (MTS) classification algorithms fo...
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03/28/2022
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis
Sepsis is a leading cause of death in the Intensive Care Units (ICU). Ea...
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10/01/2021
Empirical Quantitative Analysis of COVID-19 Forecasting Models
COVID-19 has been a public health emergency of international concern sin...
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06/22/2021
Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks
Multiple organ failure (MOF) is a severe syndrome with a high mortality ...
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03/26/2021
BART based semantic correction for Mandarin automatic speech recognition system
Although automatic speech recognition (ASR) systems achieved significant...
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03/19/2021
Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients
Multiple organ failure (MOF) is a life-threatening condition. Due to its...
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03/19/2021
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients
Survival analysis is a technique to predict the times of specific outcom...
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09/22/2020
How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment
Chronic pain is defined as pain that lasts or recurs for more than 3 to ...
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07/04/2020
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings
Multi-electrode arrays (MEAs) can record extracellular action potentials...
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09/06/2019
An Auxiliary Classifier Generative Adversarial Framework for Relation Extraction
Relation extraction models suffer from limited qualified training data. ...
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06/05/2019